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Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis

BACKGROUND: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the g...

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Autores principales: Jin, Min, Zhang, Xuehai, Zhao, Mingchao, Deng, Min, Du, Yuanhao, Zhou, Yang, Wang, Shouchuang, Tohge, Takayuki, Fernie, Alisdair R., Willmitzer, Lothar, Brotman, Yariv, Yan, Jianbing, Wen, Weiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5242060/
https://www.ncbi.nlm.nih.gov/pubmed/28100172
http://dx.doi.org/10.1186/s12870-017-0972-z
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author Jin, Min
Zhang, Xuehai
Zhao, Mingchao
Deng, Min
Du, Yuanhao
Zhou, Yang
Wang, Shouchuang
Tohge, Takayuki
Fernie, Alisdair R.
Willmitzer, Lothar
Brotman, Yariv
Yan, Jianbing
Wen, Weiwei
author_facet Jin, Min
Zhang, Xuehai
Zhao, Mingchao
Deng, Min
Du, Yuanhao
Zhou, Yang
Wang, Shouchuang
Tohge, Takayuki
Fernie, Alisdair R.
Willmitzer, Lothar
Brotman, Yariv
Yan, Jianbing
Wen, Weiwei
author_sort Jin, Min
collection PubMed
description BACKGROUND: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the genes responsible for their biosynthesis in this important crop remain largely unknown. In this study, we combine genetic mapping, metabolite profiling and gene regulatory network analysis to further enhance understanding of the maize flavonoid pathway. RESULTS: We repeatedly detected 25 QTL corresponding to 23 distinct flavonoids across different environments or populations. In addition, a total of 39 genes were revealed both by an expression based network analysis and genetic mapping. Finally, the function of three candidate genes, including two UDP-glycosyltransferases (UGT) and an oxygenase which belongs to the flavone synthase super family, was revealed via preliminary molecular functional characterization. CONCLUSION: We explored the genetic influences on the flavonoid biosynthesis based on integrating the genomic, transcriptomic and metabolomic information which provided a rich source of potential candidate genes. The integrated genomics based genetic mapping strategy is highly efficient for defining the complexity of functional genetic variants and their respective regulatory networks as well as in helping to select candidate genes and allelic variance before embarking on laborious transgenic validations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-0972-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-52420602017-01-23 Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis Jin, Min Zhang, Xuehai Zhao, Mingchao Deng, Min Du, Yuanhao Zhou, Yang Wang, Shouchuang Tohge, Takayuki Fernie, Alisdair R. Willmitzer, Lothar Brotman, Yariv Yan, Jianbing Wen, Weiwei BMC Plant Biol Research Article BACKGROUND: Flavonoids constitute a diverse class of secondary metabolites which exhibit potent bioactivities for human health and have been indicated to play an important role in plant development and defense. However, accumulation and variation of flavonoid content in diverse maize lines and the genes responsible for their biosynthesis in this important crop remain largely unknown. In this study, we combine genetic mapping, metabolite profiling and gene regulatory network analysis to further enhance understanding of the maize flavonoid pathway. RESULTS: We repeatedly detected 25 QTL corresponding to 23 distinct flavonoids across different environments or populations. In addition, a total of 39 genes were revealed both by an expression based network analysis and genetic mapping. Finally, the function of three candidate genes, including two UDP-glycosyltransferases (UGT) and an oxygenase which belongs to the flavone synthase super family, was revealed via preliminary molecular functional characterization. CONCLUSION: We explored the genetic influences on the flavonoid biosynthesis based on integrating the genomic, transcriptomic and metabolomic information which provided a rich source of potential candidate genes. The integrated genomics based genetic mapping strategy is highly efficient for defining the complexity of functional genetic variants and their respective regulatory networks as well as in helping to select candidate genes and allelic variance before embarking on laborious transgenic validations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-0972-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-18 /pmc/articles/PMC5242060/ /pubmed/28100172 http://dx.doi.org/10.1186/s12870-017-0972-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jin, Min
Zhang, Xuehai
Zhao, Mingchao
Deng, Min
Du, Yuanhao
Zhou, Yang
Wang, Shouchuang
Tohge, Takayuki
Fernie, Alisdair R.
Willmitzer, Lothar
Brotman, Yariv
Yan, Jianbing
Wen, Weiwei
Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
title Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
title_full Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
title_fullStr Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
title_full_unstemmed Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
title_short Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
title_sort integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5242060/
https://www.ncbi.nlm.nih.gov/pubmed/28100172
http://dx.doi.org/10.1186/s12870-017-0972-z
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